Optimal Allocation Method of Distributed Generation in Active Distribution Network Based on Bi-level Programming

Author:

Zhao Yating,Wu Zhi

Abstract

Abstract The optimal allocation method to distributed generation(DG) of active distribution network was studied. Firstly, a bi-level programming model of DG in active distribution network is established. For the cause of determining the optimal installation location and capacity of DG, the upper layer model considers the minimum cost of DG investors as the objective, and the decision variables are the installation location and capacity of DG. The lower layer model considers the system operation with the objective of minimizing the network loss. The decision variables include the voltage amplitude and phase angle of each node and the consumption of distributed generation. Secondly, an modified grey wolf algorithm is proposed to solve the lower layer model, and the lower layer model is turned to a second-order cone programming problem by convex relaxation and linearization technology. Finally, the bi-level programming model developed in this paper is verified by taking IEEE33 bus system as an example, and the simulation results verify the effectiveness of the proposed method.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference7 articles.

1. Renewable power generation employed in an integrated dynamic distribution network expansion planning;Bagheri;Electric Power Systems Research,2015

2. Distributed generation dynamic planning using covariance matrix adaptation evolutionary strategy method considering uncertainties;Sadeghi;Journal of Renewable and Sustainable Energy,2014

3. Multi-scenario Distributed Generation Planning Based on Clustering of Variable Correlation Features;Lu;Proceedings of the CSU-EPSA,2020

4. Investment Decision-making Method for Regional Distribution Network Planning Considering Distributed Generations;Kong;Electric Power,2020

5. A Fast Sensitivity Method for Determining Line Loss and Node Voltages in Active Distribution Network;Wang;IEEE Transactions on Power Systems,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3